Finish adding type annotations #3
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This is a benchmark review for experiment This pull request was cloned from Experiment configurationreview_config:
# User configuration for the review
# - benchmark - use the user config from the benchmark reviews
# - <value> - use the value directly
user_review_config:
enable_ai_review: true
enable_rule_comments: false
enable_complexity_comments: benchmark
enable_security_comments: benchmark
enable_tests_comments: benchmark
enable_comment_suggestions: benchmark
enable_functionality_review: benchmark
enable_pull_request_summary: benchmark
enable_review_guide: benchmark
enable_approvals: true
ai_review_config:
# The model responses to use for the experiment
# - benchmark - use the model responses from the benchmark reviews
# - llm - call the language model to generate responses
model_responses:
comments_model: benchmark
comment_area_model: benchmark
comment_validation_model: benchmark
comment_suggestion_model: benchmark
complexity_model: benchmark
docstrings_model: benchmark
functionality_model: benchmark
security_model: benchmark
tests_model: benchmark
pull_request_summary_model: benchmark
review_guide_model: benchmark
# The pull request dataset to run the experiment on
pull_request_dataset:
- https://github.com/mraniki/iamlistening/pull/334
- https://github.com/mraniki/cefi/pull/475
- https://github.com/mraniki/MyLLM/pull/581
- https://github.com/mraniki/dxsp/pull/689
- https://github.com/jschalk/jaar/pull/239
- https://github.com/jschalk/jaar/pull/241
- https://github.com/jschalk/jaar/pull/242
- https://github.com/iptux-src/iptux/pull/620
- https://github.com/iptux-src/iptux/pull/622
- https://github.com/hacksider/Deep-Live-Cam/pull/46
- https://github.com/mnbf9rca/super_simple_tfl_status/pull/114
- https://github.com/mnbf9rca/super_simple_tfl_status/pull/115
- https://github.com/RockProfile/Django-deployment/pull/1
- https://github.com/hbmartin/graphviz2drawio/pull/83
- https://github.com/fairdataihub/codefair-app/pull/28
- https://github.com/totaldebug/atomic-calendar-revive/pull/1518
- https://github.com/iammiracle01/portfolio/pull/1
- https://github.com/iammiracle01/portfolio/pull/2
- https://github.com/iammiracle01/portfolio/pull/3
- https://github.com/supermario-ai/gpt-crawler/pull/1
- https://github.com/hbmartin/graphviz2drawio/pull/84
- https://github.com/hbmartin/graphviz2drawio/pull/85
- https://github.com/dreamerminsk/tasked/pull/85
- https://github.com/dreamerminsk/tasked/pull/86
- https://github.com/dreamerminsk/tasked/pull/84
- https://github.com/haalasz/fm-tools/pull/9
- https://github.com/haalasz/fm-tools/pull/10
- https://github.com/iptux-src/iptux/pull/619
- https://github.com/code-Harsh247/medsymptom/pull/1
- https://github.com/code-Harsh247/medsymptom/pull/2
- https://github.com/cpp-lln-lab/bidspm/pull/1263
- https://github.com/cpp-lln-lab/bidspm/pull/1264
- https://github.com/cpp-lln-lab/bidspm/pull/1265
- https://github.com/luiscarlop/Judge_AI/pull/22
- https://github.com/NoNormalCreeper/nonebot_plugin_wolfram/pull/6
- https://github.com/osama1998H/kalima/pull/39
- https://github.com/osama1998H/kalima/pull/40
- https://github.com/osama1998H/kalima/pull/41
- https://github.com/jackdewinter/pymarkdown/pull/1131
- https://github.com/Eliver-Salazar/PED/pull/12
- https://github.com/NextAlone/Nagram/pull/40
- https://github.com/strawberry-graphql/strawberry-django/pull/575
- https://github.com/strawberry-graphql/strawberry/pull/3558
- https://github.com/strawberry-graphql/strawberry/pull/3559
- https://github.com/Ruin2121/yahooquery/pull/9
- https://github.com/gdsfactory/gdsfactory/pull/2951
- https://github.com/gdsfactory/gdsfactory/pull/2954
- https://github.com/gdsfactory/gdsfactory/pull/2956
- https://github.com/gdsfactory/gdsfactory/pull/2957
- https://github.com/gdsfactory/cspdk/pull/51
review_comment_labels:
- label: correct
question: Is this comment correct?
- label: helpful
question: Is this comment helpful?
- label: comment-type
question: Is the comment type correct?
- label: comment-area
question: Is the comment area correct?
- label: llm-test
question: |
What type of LLM test could this comment become?
- 👍 - this comment is really good/important and we should always make it
- 👎 - this comment is really bad and we should never make it
- no reaction - don't turn this comment into an LLM test
# Benchmark reviews generated by running
# python -m scripts.experiment benchmark <experiment_name>
benchmark_reviews: []
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Reviewer's Guide by SourceryThis pull request adds type annotations to various methods and functions across multiple files in the project. These changes enhance type safety and improve code clarity. File-Level Changes
Tips
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SourceryAI
approved these changes
Jul 8, 2024
There was a problem hiding this comment.
Hey @sourcery-ai-experiments-bot - I've reviewed your changes and they look great!
Here's what I looked at during the review
- 🟡 General issues: 5 issues found
- 🟢 Security: all looks good
- 🟢 Testing: all looks good
- 🟢 Complexity: all looks good
- 🟢 Documentation: all looks good
Help me be more useful! Please click 👍 or 👎 on each comment to tell me if it was helpful.
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| class MissingTextError(GdValueError): |
There was a problem hiding this comment.
issue: Error message for MissingTextError is incorrect.
The docstring for MissingTextError should be updated to reflect that it is for missing text, not a title.
There was a problem hiding this comment.
What type of LLM test could this comment become?
- 👍 - this comment is really good/important and we should always make it
- 👎 - this comment is really bad and we should never make it
- no reaction - don't turn this comment into an LLM test
| @@ -47,9 +50,12 @@ def to_simple_value(self) -> str: | |||
| return text | |||
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| @staticmethod | |||
| def from_svg(t): | |||
| def from_svg(t: Element) -> "Text": | |||
There was a problem hiding this comment.
nitpick: Consider using single quotes for consistency.
Using single quotes for the return type annotation would be more consistent with the rest of the codebase.
There was a problem hiding this comment.
What type of LLM test could this comment become?
- 👍 - this comment is really good/important and we should always make it
- 👎 - this comment is really bad and we should never make it
- no reaction - don't turn this comment into an LLM test
| @@ -62,7 +63,7 @@ def _extract_fill_and_stroke(g: Element) -> tuple[str | None, str | None]: | |||
| return g.attrib.get("fill", None), g.attrib.get("stroke", None) | |||
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| @staticmethod | |||
| def _extract_texts(g: Element): | |||
| def _extract_texts(g: Element) -> list[Text]: | |||
There was a problem hiding this comment.
suggestion: Consider handling edge cases for empty or malformed elements.
It might be beneficial to handle edge cases where the element g is empty or malformed to prevent potential runtime errors.
Suggested change
| def _extract_texts(g: Element) -> list[Text]: | |
| def _extract_texts(g: Element) -> list[Text]: | |
| if g is None or not hasattr(g, 'text'): | |
| return [] |
There was a problem hiding this comment.
What type of LLM test could this comment become?
- 👍 - this comment is really good/important and we should always make it
- 👎 - this comment is really bad and we should never make it
- no reaction - don't turn this comment into an LLM test
| @@ -13,7 +15,7 @@ def __init__(self, coords: CoordsTranslate, *, is_directed: bool) -> None: | |||
| self.curve_factory = CurveFactory(coords) | |||
| self.is_directed = is_directed | |||
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| def from_svg(self, g) -> Edge: | |||
| def from_svg(self, g: Element) -> Edge: | |||
There was a problem hiding this comment.
suggestion: Consider adding validation for the input element.
Adding validation for the input element g could help catch errors early and improve the robustness of the method.
Suggested change
| def from_svg(self, g: Element) -> Edge: | |
| from xml.etree.ElementTree import Element | |
| def from_svg(self, g: Element) -> Edge: | |
| if not isinstance(g, Element): | |
| raise TypeError("Input must be an instance of xml.etree.ElementTree.Element") |
| @@ -97,7 +98,7 @@ def add_node(self, node: Node) -> None: | |||
| self.add_mx_geo(node_element, node.rect) | |||
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| @staticmethod | |||
| def add_mx_geo(element, rect=None) -> None: | |||
| def add_mx_geo(element: Element, rect: Rect | None = None) -> None: | |||
There was a problem hiding this comment.
suggestion: Consider using Optional for type hinting.
Using Optional[Rect] instead of Rect | None would be more consistent with common type hinting practices.
Suggested change
| def add_mx_geo(element: Element, rect: Rect | None = None) -> None: | |
| from typing import Optional | |
| def add_mx_geo(element: Element, rect: Optional[Rect] = None) -> None: |
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Summary by Sourcery
This pull request adds type annotations to various methods and functions across multiple files in the project. These changes enhance type safety and improve code clarity without altering the core functionality.